Notes

Slide Show

Outline

1	Similarity Measurements in Chopin Mazurka Performances Craig Stuart Sapp C4DM Seminar, 11 July 2007 Queen Mary, University of London
2	Mazurka Project
3	Expressive Audio Features (Piano)
4	Expressive Performance Features
5	Data Extraction (1)
6	Data Extraction (2)
7	Data Extraction (3)
8	Data Extraction (4)
9	Data Extraction (5)
10	Data Extraction (6)
11	Well-Behaved
12	Misbehaved
13	Extracted Feature Data
14	Beat-Tempo Graphs
15	Beat-Dynamics Graphs
16	Pearson Correlation
17	Shape Matching
18	Correlation & Fourier Analysis
19	Correlation & Fourier Analysis (2)
20	Performance Tempo Correlations
21	Correlation Maps – Nearest Neighbor
22	Absolute Correlation Map
23	Scape Plotting Domain
24	Scape Plotting Example
25	Average-Tempo Timescapes
26	Arch Correlation Scapes
27	Composite Features
28	Binary Correlation Scapes
29	Scapes Are 3D Plots
30	Scapes of Multiple Performances
31	Perormance Correlation Scapes
32	Maps and Scapes
33	Map and Photos of the Forest
34	Boring Timescape Pictures
35	Boring Timescape Pictures?
36	Beat-Event Timing Differences
37	Timing Difference Probability
38	Same Performer Over Time
39	Including the Average
40	Mutual Best Matches
41	Significance of Similarity
42	Phrenology
43	Significant or Not?
44	Purely Random Matching
45	Including Average Performance
46	What Is Significant?
47	Best Matching Not Mutual
48	Performance Map Schematic
49	Strong Interpretive Influences
50	Performance Ranking
51	0^th-Order Similarity Rank
52	1^st-Order Scape Rank
53	Scape Layers
54	Peeling the Layers
55	2^nd-Order Scape Rank
56	3^rd-Order Scape Rank
57	3^rd-Order Rankings
58	Proportional Noise
59	Real Data (1)
60	Real Data (2)
61	Distance to the Noise Floor
62	Cortot Performance Ranking